Thinking·OS

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Explore the knowledge graph

Agent-based model explains Emergence. Activate to inspect this relation.Agent-based model is a Social simulation. Activate to inspect this relation.Agent-based model models Complex adaptive system. Activate to inspect this relation.Agent-based model models Social contagion. Activate to inspect this relation.Circular causality explains Feedback Loop. Activate to inspect this relation.Control System requires Feedback Loop. Activate to inspect this relation.Emergence is part of Complex adaptive system. Activate to inspect this relation.Emergence emerges from System. Activate to inspect this relation.Feedback Loop causes Nonlinearity. Activate to inspect this relation.Feedback Loop enables Self-organization. Activate to inspect this relation.Thermal fluctuations causes Phase transition. Activate to inspect this relation.Matthew Effect causes Power Law. Activate to inspect this relation.Negative Feedback is a Feedback Loop. Activate to inspect this relation.Network topology constrains Complex adaptive system. Activate to inspect this relation.Phase transition is analogous to Emergence. Activate to inspect this relation.Phase transition depends on Free energy. Activate to inspect this relation.Power Law applies to Network topology. Activate to inspect this relation.Power Law applies to Network. Activate to inspect this relation.Power Law applies to Probability. Activate to inspect this relation.Self-organization causes Emergence. Activate to inspect this relation.Self-organization is part of Complex adaptive system. Activate to inspect this relation.Self-organized criticality causes Power Law. Activate to inspect this relation.Self-organized criticality depends on Phase transition. Activate to inspect this relation.Zipf's Law is a Power Law. Activate to inspect this relation.Power LawZipf's LawNetworkMatthew EffectNetwork topologyProbabilitySelf-organized criticalityComplex adaptive systemPhase transitionAgent-based modelEmergenceSelf-organizationFree energyThermal fluctuationsSocial simulationSocial contagionSystemFeedback LoopNonlinearityCircular causalityControl SystemNegative Feedback
Relationship types

14 concepts viewed through this lens. Bridge concepts connect this view to Anthropology, Atmospheric Science, Biology, Climatology….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts24 relationships19 disciplines6 relation families

At a glance

A relationship in which one quantity varies as a power of another, producing highly skewed distributions.

Disciplines
Decision Theory · Complexity Science
Role in the graph
Cross-disciplinary bridge — reaches Anthropology, Discrete Mathematics, Linear Algebra, Mathematics, Network Science, Probability, Sociology, Statistics, Urban Planning
Relationships
6 · 3 relation families

What am I looking at?

In this lens (14)

Bridge concepts (19)

Just outside the lens — they connect it to other context.

  • Circular causality1
    Cybernetics · connects to Feedback Loop
  • Climate1
    Atmospheric Science, Environmental Science, Geography, Meteorology, Physics · connects to Tipping point
  • Control System1
    Cybernetics · connects to Feedback Loop
  • Dynamical systems1
    Mathematics · connects to Chaos theory
  • Fractal1
    Mathematics · connects to Chaos theory

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 19 disciplines: Anthropology, Biology, Complexity Science, Computational Social Science, Cybernetics, Decision Theory, Discrete Mathematics, Engineering, Linear Algebra, Mathematical Modelling, Mathematics, Network Science, Probability, Sociology, Statistical Physics, Statistics, Systems Engineering, Systems Science, Urban Planning.
  • Power Law is a bridge concept — viewed here through Complexity Science, Decision Theory.
  • The connections here span 6 relation families.
  • Emergence explains 2 concepts in this view (Biology, Complexity Science, Engineering, Mathematical Modelling, Sociology, Systems Engineering, Systems Science).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.